activity
20232026
most citedA Physics-Informed Indirect Method for Trajectory Optimization

13 citations · 30 across the 10 of their papers we have counts for

collaborators

10 papers

math.OC2026

Nonlinear Guidance for Arrival Time and Arrival Angle Control Using Trajectory Shaping

Kun Wang, Andrés Infante Adrián

This paper proposes a nonlinear trajectory shaping guidance strategy for arrival time and angle control of a constant-speed fixed-wing unmanned aerial vehicle. The look angle is pa…

math.OC2025

Nonlinear Optimal Guidance for Impact Time Control with Field-of-View Constraint

Fangmin Lu, Zheng Chen, Kun Wang

An optimal guidance law for impact time control with field-of-view constraint is presented. The guidance law is derived by first converting the inequality-constrained nonlinear opt…

eess.SY2025

Learning-Based Stable Optimal Guidance for Spacecraft Close-Proximity Operations

Kun Wang, Roberto Armellin, Adam Evans +2

Machine learning techniques have demonstrated their effectiveness in achieving autonomy and optimality for nonlinear and high-dimensional dynamical systems. However, traditional bl…

math.OC2024

Nonlinear Optimal Guidance with Constraints on Impact Time and Impact Angle

Fanchen Wu, Zheng Chen, Xueming Shao +1

This paper aims to address the nonlinear optimal guidance problem with impact-time and impact-angle constraints, which is fundamentally important for multiple pursuers to collabora…

math.OC2024★ 12 cited

Fuel-optimal powered descent guidance for lunar pinpoint landing using neural networks

Kun Wang, Zheng Chen, Jun Li

This paper presents a Neural Networks (NNs) based approach for designing the Fuel-Optimal Powered Descent Guidance (FOPDG) for lunar pinpoint landing. According to Pontryagin's Min…

math.OC2024★ 3 cited

Fuel-Optimal Trajectory Planning for Lunar Vertical Landing

Kun Wang, Zheng Chen, Jun Li

In this paper, we consider a trajectory planning problem arising from a lunar vertical landing with minimum fuel consumption. The vertical landing requirement is written as a final…

math.OC2024★ 2 cited

Neural-Network-Based Optimal Guidance for Lunar Vertical Landing

Kun Wang, Zheng Chen, Fangmin Lu +1

This paper addresses an optimal guidance problem concerning the vertical landing of a lunar lander with the objective of minimizing fuel consumption. The vertical landing imposes a…

math.OC2024★ 13 cited

A Physics-Informed Indirect Method for Trajectory Optimization

Kun Wang, Fangmin Lu, Zheng Chen +1

This work presents a Physics-Informed Indirect Method (PIIM) that propagates the dynamics of both states and co-states backward in time for trajectory optimization problems. In the…

math.OC2023

Real-time optimal control for attitude-constrained solar sailcrafts via neural networks

Kun Wang, Fangmin Lu, Zheng Chen +1

This work is devoted to generating optimal guidance commands in real time for attitude-constrained solar sailcrafts in coplanar circular-to-circular interplanetary transfers. First…

math.OC2023

A New Smoothing Technique for Bang-Bang Optimal Control Problems

Kun Wang, Zheng Chen, Zhenyu Wei +2

Bang-bang control is ubiquitous for Optimal Control Problems (OCPs) where the constrained control variable appears linearly in the dynamics and cost function. Based on the Pontryag…